Data Engineer
Location: US, NY, New York
Department: Engineering
Employment type: Full-time
Required experience: Associate
Function: Engineering

Company profile:
We're a data and design focused startup based in New York City with a passionate and forward-thinking team. We enable people to do what they love better, through data. This means we are building a groundbreaking data product and need your help achieving our goals.We’re a different kind of company. Every day we live out our core values of community, excellence, innovation, fulfillment, and transparency.

Job description:
Based in New York City, SumAll is a connected data tool that helps thousands make better decisions using data. As a Data Engineer you will be part of the Data Products group. You will be working closely with other Data Scientists, Integration Engineers, Product Engineers, and Designers to help develop our flagship analytics application. Your main responsibility will be to help develop software and systems to mine data for trends, patterns, and insights that can be delivered to our users. Day to day, you will work closely with engineers to extend our platform, implement algorithms, and create tools to support our analytical experiments and processes. You should be comfortable working with Java, Python, various types of databases, query languages, as well as large and diverse data sets.This is a junior to mid level position.

Requirements:
Things you might work on:Extend and scale SumAll's data processing and analytics pipelineCreate algorithms to autmatically clean, organize and reshape large amounts of dataCreate custom indexes and data models to optimize query workloadsCreate algorithms to automate forecasting, predictive analytics, and indexing for large data setsCollaborate with engineering, design and data science teams to shape and drive tactical and strategic development of SumAll data infrastructure, reporting and analytical applicationsThe minimum bar:Degree in Computer Science or equivalent work experienceMore kudos if you have:1-3 years of experience with high volume data environments, preferably in the software, internet, or finance industry. Graduate work or degree in computer science, applied math, or engineering a plusExperience writing production quality software in quantitative fields such as data mining, machine learning, NLP, bioinformatics, graphics, physics, or financeComfortable with math, statistics, and algorithm optimizationExperience with Python, Java, R, MongoDB, SQL, Pig, Hive, and various DBMS architecturesDemonstrated experience developing and shipping software in a startup environmentFlexible, adaptive, quick learner - would work well in a collaborative startup environment

Benefits:
We are committed to building a fun, community-oriented, and open culture. We provide catered lunches, a snack bar, kegerator, Xbox, and a number of other treats that make the workday more enjoyable. Full-time benefits include, but are not limited to, stock options, 401K, and health insurance. Founded in 2011, we are a group of experienced entrepreneurs, designers, and engineers. Between us, we’ve started several companies, created commercial web products, and led teams at Fortune 500s. We have the prowess, gusto, and push to build a disruptive technology that will change how people use data and see the world around them. We’d love for you to join us.Want to learn more about our awesome team? Click here